ArticleBMC public health2024
Movement behaviour typologies and their associations with adiposity indicators in children and adolescents: a latent profile analysis of 24-h compositional data.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characterizing device-measured sleep in observational health research using compositional data analysis: a systematic review.The international journal of behavioral nutrition and physical activity · 2026Pooled it
- Associations between 24-hour movement behavior profiles and mental health among Chinese school students: A latent profile analysis.Journal of exercise science and fitness · 2026Article
- Digital engagement and adolescent wellbeing: insights from the UK millennium cohort study.European journal of public health · 2026Article
- Article
- Profiles of 24-h movement behaviors and physical fitness among preschool children: a latent profile analysis.Journal of exercise science and fitness · 2026Article
- Accumulation patterns of sedentary and breaks and adiposity risk in Chinese children and adolescents: a latent profile analysis.BMC public health · 2025Article
- Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns.Journal of activity, sedentary and sleep behaviors · 2024Article
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5 authors.
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Abstract
objectivesGrowing evidence supports the important role of 24-hour movement behaviours (MB) in preventing childhood obesity. However, research to understand the heterogeneity and variability of MB among individuals and what kind of typologies of individuals are at risk of developing obesity is lacking. To bridge this gap, this study identified typologies of 24-hour MB in children and adolescents and investigated their associations with adiposity indicators.
methodsIn this cross-sectional study, 374 children and 317 adolescents from the Czech Republic wore wrist-worn accelerometers for seven consecutive days. Time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep was quantified using raw accelerometery data. Adiposity indicators included body mass index (BMI) z-score, fat mass percentage (FM%), fat mass index (FMI), and visceral adipose tissue (VAT). Bias-adjusted latent profile analysis was used on the 24-hour MB data to identify MB typologies and their associations with adiposity indicators. The models were adjusted for potential confounders. The identified typologies were labelled to reflect the behavioural profiles of bees to aid interpretability for the general public.
resultsTwo typologies were identified in children: highly active Workers characterised by high levels of MVPA and LPA, and inactive Queens characterised by low levels of MVPA and LPA, high levels of SB and longer sleep duration compared to Workers. In adolescents, an additional typology labelled as Drones was characterised by median levels of MVPA, LPA, SB and longest sleep duration. After controlling for covariates, we found that children labelled as Queens were associated with 1.38 times higher FM%, 1.43 times higher FMI, and 1.67 times higher VAT than Workers. In adolescents, Drones had 1.14 times higher FM% and Queens had 1.36 higher VAT in comparison with Workers, respectively.
conclusionOur study highlights the importance of promoting active lifestyles in children and adolescents to potentially reduce adiposity. These findings can provide insights for interventions aimed at promoting healthy MB and preventing childhood obesity.
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